Canadians are increasingly using cycling as a means of transportation. However, understanding the risks is problematic as data is limited. To address this, the Spatial Pattern Analysis and Research (SPAR) Lab has created a web-map, BikeMaps.org, to gather data from cyclists on crashes, near misses, hazards, and thefts. Cyclists around the world have enthusiastically begun […]

Metafor is developing a new class of IT system management solution to monitor computer and application activities, and alert when anomalous behavior occurs. Current commercial tools for anomaly detection use simple statistical rules and thresholds to detect anomalies. These methods are failing for today’s dynamic cloud environment where change is constant. As a result, IT […]

Hemophilia is a genetic bleeding disorder in which the blood flow is impaired from clotting. If you have hemophilia, you may bleed for a longer time than others after an injury. The primary goal of our work is to enable patients with the condition to make effective decisions when injuries occur. For instance, our proposed […]

Actenum produces scheduling software (Actenum DSO) that computes project schedules based on user defined criteria, constraints and desired KPIs (Key Performance Indicators). The software represents schedules using Gantt charts. A user of Actenum DSO enters activities and the constraints between them and then runs an optimization algorithm to produce a schedule. Actenum has found that […]

As the Internet has become part of people’s daily life, online advertising has also been more and more popular for its instant global communications. Of a number of factors on the cost of the advertising, a major consideration is the number of views of the ads, clicks to the ads, and conversion generated by the […]

The fishery for British Columbia’s Sablefish (Anoplopoma fimbria) is one of Canada’s most valuable marine fisheries. This project addresses the two primary strategic challenges currently facing this fishery: (1) lower harvest quotas aimed at rebuilding the spawning biomass to more productive levels risks the economic sustainability of the industry and (2) future access to fishing […]

This research project attempts to investigate and advance approaches where the productivity of a small team can be increased while assessing the effectiveness of agile methodology and various communication and management models in a fast paced, constantly changing environment. Specifically, the intern will investigate the use of agile development methodologies within the video game context […]

Depuis quinze ans, Hydro-Québec organise des formations sur l’Initiation au code de sécurité des travaux Postes et centrales et Initiation aux risques d’induction, mise à la terre et foudre. Ces formations de trois jours s’adressent à toute personne appelée à intervenir chez Hydro-Québec. Visant un meilleur coût d’opportunité, Hydro-Québec a choisi d’intégrer une nouvelle modalité […]

The project comprises internships in a variety of technical and business roles within our organization and within our GovLab program. Within the organization, roles include associate machine learning developer, business development associate, communications associate and finance associate. Within GovLab specifically, roles include associate machine learning developer, associate business solutions consultant, and project delivery associate. The […]

With advances in techniques, high volumes of valuable data are generated in many domains (e.g., energy sector) at a rapid rate. Consequently, a scalable and flexible system for efficient storage and fast management of these distributed data is needed. In this proposed research project, we plan to design and implement a cloud-based data storage & […]

Le projet vise à développer une infrastructure capable d’exploiter les informations cliniques contenues dans les dossiers médicaux électroniques. Une grande partie des données médicales du Québec est consignée dans ces dossiers, mais les textes n’ont pas de structure précise et restent difficiles à exploiter automatiquement. Cette complexité peut ralentir la prise de décision médicale et […]

This project will design and test a new privacy-preserving, attack-resilient cybersecurity system for 5G networks using Federated Learning (FL), an approach where multiple devices can train models together without sharing sensitive data. The goal is to improve protection against cyberattacks such as denial-of-service and model poisoning, which threaten the reliability of modern mobile services like […]